Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA
The Senior Technical Program Manager will drive integrated software programs, managing projects across infrastructure, systems, and embedded software teams to enhance the development of driverless robotaxis. Responsibilities include fostering cross-team collaboration, risk identification, communicating progress, and ensuring effective project management.
The Principal Engineer will lead a team in building and maintaining large-scale data processing pipelines, managing project timelines, designing scalable data solutions, and mentoring engineers. The role involves hands-on coding, system design, and collaboration with stakeholders to align project objectives.
The Principal Engineer will lead the development of a scalable ML training platform, optimizing model training performance, managing technical risks, and driving cross-functional initiatives. They will guide a high-performing team to deliver on key objectives and ensure the platform meets business needs for autonomous driving software.
Lead development of cutting-edge motion planning systems for autonomous vehicles using machine learning and optimization methods. Responsibilities include designing algorithms, building deep learning frameworks, improving performance with real-world data, and mentoring junior engineers.
The Senior Software Engineer will analyze complex software systems, design Restful APIs, build metrics and data pipelines in Python, and develop large-scale machine learning infrastructure for autonomous vehicles, collaborating with cross-functional teams.
As a Senior Machine Learning Engineer, you will develop solutions for autonomous vehicles, influence team direction, prototype and analyze deep learning algorithms, and mentor junior engineers. Your role involves enhancing driving capabilities, collaborating with cross-functional teams, and deploying models in real-world environments.
The Principal Engineer will lead a team in building and maintaining large-scale data processing pipelines for autonomous vehicle data, ensure project commitments are met, and design scalable data access using cloud ETL technology.
The Senior Technical Program Manager will drive integrated software programs, enhance infrastructure execution, manage cross-functional projects, identify risks, and collaborate with engineering leaders to achieve milestones in autonomous driving technology.
The Principal Engineer will lead the ML training platform team, overseeing the development of scalable ML data processing and model training solutions. Responsibilities include optimizing model performance, managing technical risks, and guiding cross-functional projects while fostering a high-performing team environment.
The Senior Machine Learning Engineer will develop motion planning systems using machine learning and optimization methods for autonomous driving. Responsibilities include creating algorithms, developing deep learning models, improving existing models, deploying solutions in vehicles, and mentoring junior team members.
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